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Three-dimensional CT-based medium-and-long-term survival prediction system for patients with idiopathic pulmonary fibrosis

A technology for pulmonary fibrosis and survival prediction, which is applied in the fields of medical imaging and software data analysis, and can solve the problems that patients cannot cooperate and the prognostic indicators of IPF patients are unstable.

Pending Publication Date: 2022-07-15
ZHONGSHAN HOSPITAL FUDAN UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the instability of the existing IPF patient's prognosis prediction index and the inability of some patients to cooperate to complete, etc.

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  • Three-dimensional CT-based medium-and-long-term survival prediction system for patients with idiopathic pulmonary fibrosis
  • Three-dimensional CT-based medium-and-long-term survival prediction system for patients with idiopathic pulmonary fibrosis

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[0028] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these examples are only used to illustrate the present invention and not to limit the scope of the present invention. In addition, it should be understood that after reading the content taught in the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0029] Zhongshan Hospital affiliated to Fudan University recruited patients diagnosed with stable IPF. Inclusion criteria were based on the 2011 ATS / ERS / JRS / ALAT diagnostic criteria for IPF. Demographics, symptoms, lung function, and GAP scores of patients were collected, and clinic follow-up or telephone follow-up was performed to determine whether the patient was alive. In the included 64 patients with IPF, CT was first calc...

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Abstract

The invention provides a three-dimensional CT-based medium-and-long-term survival prediction system for an idiopathic pulmonary fibrosis patient, and the system is characterized in that the system comprises a three-dimensional CT acquisition module; a CTFLV / TLV% index calculation module; the storage module is used for storing a comparison table of the total score and CTFLV / TLV% indexes; and the prediction module is used for calculating the three-year survival probability and the five-year survival probability of the current testee. According to the method, new software is used for further analyzing the pulmonary fibrosis degree on the basis of a traditional image, based on three-dimensional CT (3D-CT), the fibrotic lung volume (FLV), the total lung volume (TLV) and the FLV / TLV ratio (called CTFLV / TLV% index for short) are calculated through computer software, and the survival probability of individual IPF patients in a medium and long term (within 3-5 years) is predicted through the CTFLV / TLV% index.

Description

technical field [0001] The invention relates to a survival prediction system for patients with idiopathic pulmonary fibrosis, belonging to the field of medical imaging and software data analysis. Background technique [0002] Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, interstitial fibrotic lung disease of unknown etiology, usually with characteristic imaging and histological findings, mainly in elderly smokers in the male population. It is characterized by dyspnea and progressive deterioration of lung function, with a poor prognosis, with a median survival of 3 to 5 years, of which the 5-year survival rate is only 20%-40%. [0003] Lung histology and high-resolution computed tomography (HRCT) of the chest in IPF showed common interstitial pneumonia (UIP). The characteristic chest HRCT manifestations of UIP are grid shadows and honeycomb shadows mainly distributed in the subpleural and basal parts, with (or without) traction bronchiectasis, and no obviou...

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Application Information

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IPC IPC(8): G06T7/00G06T7/62
CPCG06T7/0012G06T7/62G06T2207/10081G06T2207/30061
Inventor 陈智鸿杜开锋钱峰张新朱亦淳刘晓静陈梦捷曲玉蓓
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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